Overview

Dataset statistics

Number of variables28
Number of observations2197762
Missing cells44107190
Missing cells (%)71.7%
Duplicate rows101726
Duplicate rows (%)4.6%
Total size in memory486.3 MiB
Average record size in memory232.0 B

Variable types

Numeric28

Alerts

Dataset has 101726 (4.6%) duplicate rowsDuplicates
FLP_Strom_P5_pval is highly overall correlated with FLP_Hohenstand_Becken1_pval and 1 other fieldsHigh correlation
FLP_Hohenstand_Becken1_pval is highly overall correlated with FLP_Strom_P5_pval and 1 other fieldsHigh correlation
FLP_Hohenstand_Becken3_pval is highly overall correlated with FLP_Strom_P5_pval and 1 other fieldsHigh correlation
Oberwasser_pval is highly overall correlated with Unterwasser_pval and 2 other fieldsHigh correlation
Unterwasser_pval is highly overall correlated with Oberwasser_pval and 2 other fieldsHigh correlation
Durchflumenge_pval is highly overall correlated with Oberwasser_pval and 2 other fieldsHigh correlation
Berechnete Durchflussmenge_pval is highly overall correlated with Oberwasser_pval and 2 other fieldsHigh correlation
Strom P4_pval is highly overall correlated with Strom P5_pvalHigh correlation
Strom P5_pval is highly overall correlated with Strom P4_pvalHigh correlation
Strom Pumpe 2_pval.1 is highly overall correlated with Strom Pumpe 3_pvalHigh correlation
Strom Pumpe 3_pval is highly overall correlated with Strom Pumpe 2_pval.1High correlation
FLP_Hohenstand_Pumpensumpf_pval has 1378717 (62.7%) missing valuesMissing
FLP_Strom_P3_pval has 1414145 (64.3%) missing valuesMissing
FLP_Strom_P4_pval has 1414149 (64.3%) missing valuesMissing
FLP_Strom_P5_pval has 1414175 (64.3%) missing valuesMissing
Durchfluss SWP1 und SWP2_pval has 1625027 (73.9%) missing valuesMissing
FLP_Hohenstand_Becken1_pval has 1381309 (62.9%) missing valuesMissing
FLP_Hohenstand_Becken3_pval has 1381316 (62.9%) missing valuesMissing
FLP_Hohenstand_Beckne2_pval has 1381288 (62.8%) missing valuesMissing
Schieber Position_pval has 1670466 (76.0%) missing valuesMissing
Oberwasser_pval has 1596371 (72.6%) missing valuesMissing
Unterwasser_pval has 1601946 (72.9%) missing valuesMissing
Durchflumenge_pval has 1502431 (68.4%) missing valuesMissing
Berechnete Durchflussmenge_pval has 1462265 (66.5%) missing valuesMissing
Fllstand SWS_pval has 1681115 (76.5%) missing valuesMissing
Fllstand RWS_pval has 1681115 (76.5%) missing valuesMissing
Strom P1_pval has 1681110 (76.5%) missing valuesMissing
Strom P2_pval has 1681111 (76.5%) missing valuesMissing
Strom P3_pval has 1681111 (76.5%) missing valuesMissing
Strom P4_pval has 1681112 (76.5%) missing valuesMissing
Strom P5_pval has 1681116 (76.5%) missing valuesMissing
Strom P6_pval has 1681116 (76.5%) missing valuesMissing
Fllstand Pumpensumpf_pval has 1512228 (68.8%) missing valuesMissing
Strom Pumpe 1_pval has 1665794 (75.8%) missing valuesMissing
Strom Pumpe 2_pval has 1664637 (75.7%) missing valuesMissing
Fllstand Pumpensumpf_pval.1 has 1585752 (72.2%) missing valuesMissing
Strom Pumpe 1_pval.1 has 1665785 (75.8%) missing valuesMissing
Strom Pumpe 2_pval.1 has 1670304 (76.0%) missing valuesMissing
Strom Pumpe 3_pval has 1670179 (76.0%) missing valuesMissing
FLP_Strom_P3_pval is highly skewed (γ1 = 39.51872531)Skewed
Schieber Position_pval is highly skewed (γ1 = -45.26753159)Skewed
Strom P4_pval is highly skewed (γ1 = 53.4585278)Skewed
Strom P5_pval is highly skewed (γ1 = 57.50149015)Skewed
Strom P6_pval is highly skewed (γ1 = 88.77964533)Skewed
Strom Pumpe 2_pval.1 is highly skewed (γ1 = 22.86080088)Skewed
FLP_Strom_P3_pval has 783080 (35.6%) zerosZeros
FLP_Strom_P4_pval has 771250 (35.1%) zerosZeros
FLP_Strom_P5_pval has 621679 (28.3%) zerosZeros
Durchfluss SWP1 und SWP2_pval has 321743 (14.6%) zerosZeros
FLP_Hohenstand_Becken1_pval has 225895 (10.3%) zerosZeros
FLP_Hohenstand_Becken3_pval has 219263 (10.0%) zerosZeros
FLP_Hohenstand_Beckne2_pval has 729802 (33.2%) zerosZeros
Strom P1_pval has 357958 (16.3%) zerosZeros
Strom P2_pval has 514501 (23.4%) zerosZeros
Strom P3_pval has 514460 (23.4%) zerosZeros
Strom P4_pval has 516333 (23.5%) zerosZeros
Strom P5_pval has 516449 (23.5%) zerosZeros
Strom P6_pval has 516561 (23.5%) zerosZeros
Strom Pumpe 1_pval has 514821 (23.4%) zerosZeros
Strom Pumpe 2_pval has 501773 (22.8%) zerosZeros
Strom Pumpe 1_pval.1 has 480933 (21.9%) zerosZeros
Strom Pumpe 2_pval.1 has 526334 (23.9%) zerosZeros

Reproduction

Analysis started2023-04-03 18:15:10.968271
Analysis finished2023-04-03 18:16:43.716460
Duration1 minute and 32.75 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

Distinct11800
Distinct (%)1.4%
Missing1378717
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean120.69586
Minimum0
Maximum591.65
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:43.775027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72.48
Q184.6
median99.14
Q3119.68
95-th percentile257
Maximum591.65
Range591.65
Interquartile range (IQR)35.08

Descriptive statistics

Standard deviation61.979465
Coefficient of variation (CV)0.51351775
Kurtosis5.9529808
Mean120.69586
Median Absolute Deviation (MAD)15.99
Skewness2.2180491
Sum98855339
Variance3841.4541
MonotonicityNot monotonic
2023-04-03T20:16:43.848439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 1801
 
0.1%
108 1530
 
0.1%
94 1440
 
0.1%
102 1407
 
0.1%
97 1097
 
< 0.1%
84 1080
 
< 0.1%
86 1080
 
< 0.1%
91 1059
 
< 0.1%
88 1051
 
< 0.1%
81 1050
 
< 0.1%
Other values (11790) 806450
36.7%
(Missing) 1378717
62.7%
ValueCountFrequency (%)
0 14
< 0.1%
0.43 1
 
< 0.1%
0.61 2
 
< 0.1%
0.65 1
 
< 0.1%
0.69 2
 
< 0.1%
0.72 2
 
< 0.1%
0.76 2
 
< 0.1%
0.8 1
 
< 0.1%
1.01 1
 
< 0.1%
1.19 1
 
< 0.1%
ValueCountFrequency (%)
591.65 2
< 0.1%
591.54 2
< 0.1%
591.51 2
< 0.1%
591.36 1
< 0.1%
591.33 2
< 0.1%
591.29 1
< 0.1%
591.25 1
< 0.1%
591.18 1
< 0.1%
591 1
< 0.1%
590.96 1
< 0.1%

FLP_Strom_P3_pval
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct53
Distinct (%)< 0.1%
Missing1414145
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean0.065087919
Minimum0
Maximum119
Zeros783080
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:43.923498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum119
Range119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5398873
Coefficient of variation (CV)39.022407
Kurtosis1572.9451
Mean0.065087919
Median Absolute Deviation (MAD)0
Skewness39.518725
Sum51004
Variance6.4510274
MonotonicityNot monotonic
2023-04-03T20:16:43.994796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 783080
35.6%
105 113
 
< 0.1%
104 63
 
< 0.1%
106 35
 
< 0.1%
108 33
 
< 0.1%
103 32
 
< 0.1%
89 31
 
< 0.1%
88 26
 
< 0.1%
107 21
 
< 0.1%
102 20
 
< 0.1%
Other values (43) 163
 
< 0.1%
(Missing) 1414145
64.3%
ValueCountFrequency (%)
0 783080
35.6%
1 7
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 3
 
< 0.1%
18 2
 
< 0.1%
23 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
119 1
 
< 0.1%
109 5
 
< 0.1%
108 33
 
< 0.1%
107 21
 
< 0.1%
106 35
 
< 0.1%
105 113
< 0.1%
104 63
< 0.1%
103 32
 
< 0.1%
102 20
 
< 0.1%
101 12
 
< 0.1%

FLP_Strom_P4_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)< 0.1%
Missing1414149
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean1.1413159
Minimum-1
Maximum114
Zeros771250
Zeros (%)35.1%
Negative415
Negative (%)< 0.1%
Memory size33.5 MiB
2023-04-03T20:16:44.066712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum114
Range115
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.3438037
Coefficient of variation (CV)8.1868687
Kurtosis66.809597
Mean1.1413159
Median Absolute Deviation (MAD)0
Skewness8.2191344
Sum894350
Variance87.306667
MonotonicityNot monotonic
2023-04-03T20:16:44.136812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 771250
35.1%
80 556
 
< 0.1%
77 539
 
< 0.1%
68 500
 
< 0.1%
76 447
 
< 0.1%
74 444
 
< 0.1%
79 438
 
< 0.1%
78 435
 
< 0.1%
69 435
 
< 0.1%
72 426
 
< 0.1%
Other values (104) 8143
 
0.4%
(Missing) 1414149
64.3%
ValueCountFrequency (%)
-1 415
 
< 0.1%
0 771250
35.1%
1 81
 
< 0.1%
2 34
 
< 0.1%
3 16
 
< 0.1%
4 10
 
< 0.1%
5 7
 
< 0.1%
6 13
 
< 0.1%
7 2
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
114 1
 
< 0.1%
112 1
 
< 0.1%
110 1
 
< 0.1%
109 3
 
< 0.1%
108 4
 
< 0.1%
107 7
 
< 0.1%
106 5
 
< 0.1%
105 9
 
< 0.1%
104 20
< 0.1%
103 25
< 0.1%

FLP_Strom_P5_pval
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct99
Distinct (%)< 0.1%
Missing1414175
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean0.6663523
Minimum-1
Maximum119
Zeros621679
Zeros (%)28.3%
Negative152110
Negative (%)6.9%
Memory size33.5 MiB
2023-04-03T20:16:44.206342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q10
median0
Q30
95-th percentile0
Maximum119
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.8556827
Coefficient of variation (CV)11.789083
Kurtosis85.901379
Mean0.6663523
Median Absolute Deviation (MAD)0
Skewness9.2323
Sum522145
Variance61.711751
MonotonicityNot monotonic
2023-04-03T20:16:44.279047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 621679
28.3%
-1 152110
 
6.9%
74 652
 
< 0.1%
75 520
 
< 0.1%
76 444
 
< 0.1%
73 443
 
< 0.1%
53 372
 
< 0.1%
56 368
 
< 0.1%
57 330
 
< 0.1%
72 323
 
< 0.1%
Other values (89) 6346
 
0.3%
(Missing) 1414175
64.3%
ValueCountFrequency (%)
-1 152110
 
6.9%
0 621679
28.3%
1 42
 
< 0.1%
2 18
 
< 0.1%
3 16
 
< 0.1%
4 9
 
< 0.1%
5 4
 
< 0.1%
6 5
 
< 0.1%
7 8
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
119 1
 
< 0.1%
100 9
 
< 0.1%
99 20
 
< 0.1%
98 31
 
< 0.1%
97 28
 
< 0.1%
96 50
< 0.1%
95 72
< 0.1%
94 79
< 0.1%
93 103
< 0.1%
92 104
< 0.1%

Durchfluss SWP1 und SWP2_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct6153
Distinct (%)1.1%
Missing1625027
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean11.403314
Minimum-74.92
Maximum84.93
Zeros321743
Zeros (%)14.6%
Negative6195
Negative (%)0.3%
Memory size33.5 MiB
2023-04-03T20:16:44.350403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-74.92
5-th percentile0
Q10
median0
Q328.38
95-th percentile31.04
Maximum84.93
Range159.85
Interquartile range (IQR)28.38

Descriptive statistics

Standard deviation14.269434
Coefficient of variation (CV)1.2513409
Kurtosis-1.4089263
Mean11.403314
Median Absolute Deviation (MAD)0
Skewness0.53038988
Sum6531077.2
Variance203.61674
MonotonicityNot monotonic
2023-04-03T20:16:44.420553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 321743
 
14.6%
29.56 686
 
< 0.1%
29.59 677
 
< 0.1%
29.43 666
 
< 0.1%
29.76 658
 
< 0.1%
29.44 649
 
< 0.1%
29.48 640
 
< 0.1%
29.62 640
 
< 0.1%
29.58 637
 
< 0.1%
29.55 637
 
< 0.1%
Other values (6143) 245102
 
11.2%
(Missing) 1625027
73.9%
ValueCountFrequency (%)
-74.92 1
< 0.1%
-58.77 1
< 0.1%
-50.98 1
< 0.1%
-49.5 1
< 0.1%
-25.43 1
< 0.1%
-24.82 1
< 0.1%
-24.7 1
< 0.1%
-23.9 1
< 0.1%
-23.82 1
< 0.1%
-23.69 1
< 0.1%
ValueCountFrequency (%)
84.93 1
< 0.1%
67.77 1
< 0.1%
63.26 1
< 0.1%
61.48 2
< 0.1%
61.24 1
< 0.1%
58.66 1
< 0.1%
58.55 1
< 0.1%
57.56 1
< 0.1%
56.96 1
< 0.1%
56.15 1
< 0.1%

FLP_Hohenstand_Becken1_pval
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct450
Distinct (%)0.1%
Missing1381309
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean23.979628
Minimum0
Maximum449
Zeros225895
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:44.499198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q325
95-th percentile69
Maximum449
Range449
Interquartile range (IQR)25

Descriptive statistics

Standard deviation28.919455
Coefficient of variation (CV)1.206001
Kurtosis52.622445
Mean23.979628
Median Absolute Deviation (MAD)2
Skewness5.5845751
Sum19578239
Variance836.3349
MonotonicityNot monotonic
2023-04-03T20:16:44.566407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 299432
 
13.6%
0 225895
 
10.3%
25 96174
 
4.4%
26 20582
 
0.9%
28 13583
 
0.6%
27 12948
 
0.6%
29 11503
 
0.5%
30 10476
 
0.5%
23 10110
 
0.5%
32 8916
 
0.4%
Other values (440) 106834
 
4.9%
(Missing) 1381309
62.9%
ValueCountFrequency (%)
0 225895
10.3%
1 170
 
< 0.1%
2 57
 
< 0.1%
3 105
 
< 0.1%
4 124
 
< 0.1%
5 112
 
< 0.1%
6 129
 
< 0.1%
7 72
 
< 0.1%
8 128
 
< 0.1%
9 129
 
< 0.1%
ValueCountFrequency (%)
449 7
< 0.1%
448 12
< 0.1%
447 6
< 0.1%
446 5
< 0.1%
445 5
< 0.1%
444 3
 
< 0.1%
443 4
 
< 0.1%
442 5
< 0.1%
441 3
 
< 0.1%
440 3
 
< 0.1%

FLP_Hohenstand_Becken3_pval
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct397
Distinct (%)< 0.1%
Missing1381316
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean9.9730993
Minimum-1
Maximum395
Zeros219263
Zeros (%)10.0%
Negative4
Negative (%)< 0.1%
Memory size33.5 MiB
2023-04-03T20:16:44.636426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median1
Q31
95-th percentile66
Maximum395
Range396
Interquartile range (IQR)1

Descriptive statistics

Standard deviation37.942314
Coefficient of variation (CV)3.8044657
Kurtosis32.675586
Mean9.9730993
Median Absolute Deviation (MAD)0
Skewness5.5132406
Sum8142497
Variance1439.6192
MonotonicityNot monotonic
2023-04-03T20:16:44.712672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 498843
 
22.7%
0 219263
 
10.0%
82 13344
 
0.6%
81 8502
 
0.4%
250 7318
 
0.3%
251 3960
 
0.2%
51 3339
 
0.2%
2 2758
 
0.1%
52 1879
 
0.1%
6 1786
 
0.1%
Other values (387) 55454
 
2.5%
(Missing) 1381316
62.9%
ValueCountFrequency (%)
-1 4
 
< 0.1%
0 219263
10.0%
1 498843
22.7%
2 2758
 
0.1%
3 1282
 
0.1%
4 1379
 
0.1%
5 1512
 
0.1%
6 1786
 
0.1%
7 1587
 
0.1%
8 1096
 
< 0.1%
ValueCountFrequency (%)
395 9
< 0.1%
394 11
< 0.1%
393 7
< 0.1%
392 5
< 0.1%
391 3
 
< 0.1%
390 4
 
< 0.1%
389 5
< 0.1%
388 5
< 0.1%
387 3
 
< 0.1%
386 3
 
< 0.1%

FLP_Hohenstand_Beckne2_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct489
Distinct (%)0.1%
Missing1381288
Missing (%)62.8%
Infinite0
Infinite (%)0.0%
Mean4.449822
Minimum-1
Maximum492
Zeros729802
Zeros (%)33.2%
Negative333
Negative (%)< 0.1%
Memory size33.5 MiB
2023-04-03T20:16:44.790013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile26
Maximum492
Range493
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.341728
Coefficient of variation (CV)6.3691824
Kurtosis147.01683
Mean4.449822
Median Absolute Deviation (MAD)0
Skewness11.502548
Sum3633164
Variance803.25357
MonotonicityNot monotonic
2023-04-03T20:16:44.863891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 729802
33.2%
1 8571
 
0.4%
33 3961
 
0.2%
35 3056
 
0.1%
14 2374
 
0.1%
374 2249
 
0.1%
15 2055
 
0.1%
12 2051
 
0.1%
11 1995
 
0.1%
16 1946
 
0.1%
Other values (479) 58414
 
2.7%
(Missing) 1381288
62.8%
ValueCountFrequency (%)
-1 333
 
< 0.1%
0 729802
33.2%
1 8571
 
0.4%
2 1669
 
0.1%
3 1582
 
0.1%
4 1489
 
0.1%
5 1523
 
0.1%
6 1529
 
0.1%
7 1726
 
0.1%
8 1809
 
0.1%
ValueCountFrequency (%)
492 2
 
< 0.1%
491 14
< 0.1%
490 7
< 0.1%
489 4
 
< 0.1%
488 5
 
< 0.1%
487 3
 
< 0.1%
486 3
 
< 0.1%
485 4
 
< 0.1%
484 3
 
< 0.1%
483 4
 
< 0.1%

Schieber Position_pval
Real number (ℝ)

MISSING  SKEWED 

Distinct29
Distinct (%)< 0.1%
Missing1670466
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean99.935033
Minimum0
Maximum100
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:44.930731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3150935
Coefficient of variation (CV)0.013159485
Kurtosis2314.3424
Mean99.935033
Median Absolute Deviation (MAD)0
Skewness-45.267532
Sum52695343
Variance1.729471
MonotonicityNot monotonic
2023-04-03T20:16:44.990039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
100 508829
 
23.2%
99 18150
 
0.8%
51 246
 
< 0.1%
0 12
 
< 0.1%
37 7
 
< 0.1%
97 4
 
< 0.1%
63 4
 
< 0.1%
49 2
 
< 0.1%
26 2
 
< 0.1%
72 2
 
< 0.1%
Other values (19) 38
 
< 0.1%
(Missing) 1670466
76.0%
ValueCountFrequency (%)
0 12
< 0.1%
1 2
 
< 0.1%
5 2
 
< 0.1%
11 2
 
< 0.1%
14 2
 
< 0.1%
23 2
 
< 0.1%
26 2
 
< 0.1%
30 2
 
< 0.1%
31 2
 
< 0.1%
33 2
 
< 0.1%
ValueCountFrequency (%)
100 508829
23.2%
99 18150
 
0.8%
97 4
 
< 0.1%
93 2
 
< 0.1%
89 2
 
< 0.1%
87 2
 
< 0.1%
85 2
 
< 0.1%
82 2
 
< 0.1%
78 2
 
< 0.1%
72 2
 
< 0.1%

Oberwasser_pval
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct272
Distinct (%)< 0.1%
Missing1596371
Missing (%)72.6%
Infinite0
Infinite (%)0.0%
Mean10.81756
Minimum0
Maximum300
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.057431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q18
median10
Q311
95-th percentile18
Maximum300
Range300
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.8218149
Coefficient of variation (CV)0.81550879
Kurtosis393.11056
Mean10.81756
Median Absolute Deviation (MAD)2
Skewness16.469665
Sum6505583
Variance77.824418
MonotonicityNot monotonic
2023-04-03T20:16:45.125472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 128436
 
5.8%
9 111272
 
5.1%
8 66800
 
3.0%
7 58875
 
2.7%
11 58557
 
2.7%
6 47656
 
2.2%
12 26470
 
1.2%
13 17825
 
0.8%
15 14414
 
0.7%
14 14262
 
0.6%
Other values (262) 56824
 
2.6%
(Missing) 1596371
72.6%
ValueCountFrequency (%)
0 10
 
< 0.1%
1 7
 
< 0.1%
2 11
 
< 0.1%
3 21
 
< 0.1%
4 21
 
< 0.1%
5 2468
 
0.1%
6 47656
2.2%
7 58875
2.7%
8 66800
3.0%
9 111272
5.1%
ValueCountFrequency (%)
300 18
< 0.1%
299 3
 
< 0.1%
298 4
 
< 0.1%
297 8
< 0.1%
296 5
 
< 0.1%
295 6
 
< 0.1%
294 4
 
< 0.1%
292 6
 
< 0.1%
291 2
 
< 0.1%
289 2
 
< 0.1%

Unterwasser_pval
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct135
Distinct (%)< 0.1%
Missing1601946
Missing (%)72.9%
Infinite0
Infinite (%)0.0%
Mean6.709563
Minimum0
Maximum143
Zeros486
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.197880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q37
95-th percentile11
Maximum143
Range143
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.3194463
Coefficient of variation (CV)0.64377461
Kurtosis206.85498
Mean6.709563
Median Absolute Deviation (MAD)1
Skewness10.853862
Sum3997665
Variance18.657616
MonotonicityNot monotonic
2023-04-03T20:16:45.267989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 198278
 
9.0%
7 89681
 
4.1%
5 86673
 
3.9%
4 79621
 
3.6%
8 27430
 
1.2%
10 23343
 
1.1%
3 22736
 
1.0%
9 21517
 
1.0%
11 14869
 
0.7%
12 5959
 
0.3%
Other values (125) 25709
 
1.2%
(Missing) 1601946
72.9%
ValueCountFrequency (%)
0 486
 
< 0.1%
1 550
 
< 0.1%
2 1486
 
0.1%
3 22736
 
1.0%
4 79621
3.6%
5 86673
3.9%
6 198278
9.0%
7 89681
4.1%
8 27430
 
1.2%
9 21517
 
1.0%
ValueCountFrequency (%)
143 2
 
< 0.1%
142 2
 
< 0.1%
141 2
 
< 0.1%
140 2
 
< 0.1%
137 3
< 0.1%
136 5
< 0.1%
135 6
< 0.1%
133 4
< 0.1%
132 2
 
< 0.1%
130 2
 
< 0.1%

Durchflumenge_pval
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct775
Distinct (%)0.1%
Missing1502431
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean14.737298
Minimum0
Maximum1001
Zeros5970
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.345824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q312
95-th percentile42
Maximum1001
Range1001
Interquartile range (IQR)7

Descriptive statistics

Standard deviation39.105403
Coefficient of variation (CV)2.6534989
Kurtosis285.36547
Mean14.737298
Median Absolute Deviation (MAD)3
Skewness14.828672
Sum10247300
Variance1529.2325
MonotonicityNot monotonic
2023-04-03T20:16:45.418147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 67156
 
3.1%
6 64382
 
2.9%
8 58687
 
2.7%
5 56809
 
2.6%
2 48748
 
2.2%
9 47163
 
2.1%
3 46515
 
2.1%
4 45249
 
2.1%
10 37956
 
1.7%
11 26201
 
1.2%
Other values (765) 196465
 
8.9%
(Missing) 1502431
68.4%
ValueCountFrequency (%)
0 5970
 
0.3%
1 5090
 
0.2%
2 48748
2.2%
3 46515
2.1%
4 45249
2.1%
5 56809
2.6%
6 64382
2.9%
7 67156
3.1%
8 58687
2.7%
9 47163
2.1%
ValueCountFrequency (%)
1001 2
 
< 0.1%
1000 49
< 0.1%
999 2
 
< 0.1%
998 2
 
< 0.1%
996 2
 
< 0.1%
995 2
 
< 0.1%
992 2
 
< 0.1%
991 2
 
< 0.1%
990 4
 
< 0.1%
988 2
 
< 0.1%

Berechnete Durchflussmenge_pval
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct659
Distinct (%)0.1%
Missing1462265
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean16.92111
Minimum0
Maximum887
Zeros618
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.491475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median12
Q315
95-th percentile41
Maximum887
Range887
Interquartile range (IQR)5

Descriptive statistics

Standard deviation29.73629
Coefficient of variation (CV)1.7573486
Kurtosis351.3583
Mean16.92111
Median Absolute Deviation (MAD)3
Skewness15.999322
Sum12445426
Variance884.24695
MonotonicityNot monotonic
2023-04-03T20:16:45.559844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 73384
 
3.3%
12 72740
 
3.3%
13 68478
 
3.1%
14 64744
 
2.9%
10 62287
 
2.8%
9 47732
 
2.2%
15 41732
 
1.9%
8 38073
 
1.7%
4 28914
 
1.3%
7 28779
 
1.3%
Other values (649) 208634
 
9.5%
(Missing) 1462265
66.5%
ValueCountFrequency (%)
0 618
 
< 0.1%
1 28
 
< 0.1%
2 388
 
< 0.1%
3 10600
 
0.5%
4 28914
1.3%
5 15534
 
0.7%
6 8952
 
0.4%
7 28779
1.3%
8 38073
1.7%
9 47732
2.2%
ValueCountFrequency (%)
887 2
 
< 0.1%
885 2
 
< 0.1%
883 2
 
< 0.1%
882 2
 
< 0.1%
880 2
 
< 0.1%
878 4
< 0.1%
877 4
< 0.1%
874 2
 
< 0.1%
873 6
< 0.1%
871 2
 
< 0.1%

Fllstand SWS_pval
Real number (ℝ)

Distinct144
Distinct (%)< 0.1%
Missing1681115
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean83.025398
Minimum0
Maximum206
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.631338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61
Q169
median78
Q387
95-th percentile137
Maximum206
Range206
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.621058
Coefficient of variation (CV)0.26041499
Kurtosis1.5091332
Mean83.025398
Median Absolute Deviation (MAD)9
Skewness1.5382389
Sum42894823
Variance467.47016
MonotonicityNot monotonic
2023-04-03T20:16:45.700967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 17334
 
0.8%
89 15347
 
0.7%
87 14947
 
0.7%
88 14718
 
0.7%
76 14444
 
0.7%
73 14423
 
0.7%
78 14288
 
0.7%
83 14216
 
0.6%
80 14202
 
0.6%
75 14100
 
0.6%
Other values (134) 368628
 
16.8%
(Missing) 1681115
76.5%
ValueCountFrequency (%)
0 5
< 0.1%
7 1
 
< 0.1%
8 3
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 2
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
206 1
 
< 0.1%
205 2
< 0.1%
204 1
 
< 0.1%
203 1
 
< 0.1%
202 2
< 0.1%
201 1
 
< 0.1%
200 4
< 0.1%
197 1
 
< 0.1%
195 1
 
< 0.1%
193 1
 
< 0.1%

Fllstand RWS_pval
Real number (ℝ)

Distinct59
Distinct (%)< 0.1%
Missing1681115
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean36.210751
Minimum19
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.776465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile27
Q135
median36
Q340
95-th percentile44
Maximum92
Range73
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.9164665
Coefficient of variation (CV)0.13577367
Kurtosis0.55454024
Mean36.210751
Median Absolute Deviation (MAD)3
Skewness-0.28875023
Sum18708176
Variance24.171643
MonotonicityNot monotonic
2023-04-03T20:16:45.848439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 137855
 
6.3%
36 64305
 
2.9%
41 37016
 
1.7%
40 34312
 
1.6%
39 26333
 
1.2%
42 23827
 
1.1%
43 22437
 
1.0%
30 18172
 
0.8%
29 17224
 
0.8%
28 15451
 
0.7%
Other values (49) 119715
 
5.4%
(Missing) 1681115
76.5%
ValueCountFrequency (%)
19 2
 
< 0.1%
20 13
 
< 0.1%
21 656
 
< 0.1%
22 3221
 
0.1%
23 4276
 
0.2%
24 445
 
< 0.1%
25 1592
 
0.1%
26 2128
 
0.1%
27 13951
0.6%
28 15451
0.7%
ValueCountFrequency (%)
92 5
< 0.1%
91 6
< 0.1%
90 2
 
< 0.1%
89 1
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
84 1
 
< 0.1%
83 1
 
< 0.1%
81 1
 
< 0.1%
78 1
 
< 0.1%

Strom P1_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing1681110
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean1.9519154
Minimum0
Maximum18
Zeros357958
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:45.914280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum18
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.9565791
Coefficient of variation (CV)1.5147066
Kurtosis-1.0444218
Mean1.9519154
Median Absolute Deviation (MAD)0
Skewness0.90065275
Sum1008461
Variance8.7413601
MonotonicityNot monotonic
2023-04-03T20:16:45.969003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 357958
 
16.3%
6 107345
 
4.9%
7 43386
 
2.0%
8 4826
 
0.2%
5 1094
 
< 0.1%
9 1065
 
< 0.1%
3 274
 
< 0.1%
4 180
 
< 0.1%
10 179
 
< 0.1%
11 64
 
< 0.1%
Other values (9) 281
 
< 0.1%
(Missing) 1681110
76.5%
ValueCountFrequency (%)
0 357958
16.3%
1 51
 
< 0.1%
2 22
 
< 0.1%
3 274
 
< 0.1%
4 180
 
< 0.1%
5 1094
 
< 0.1%
6 107345
 
4.9%
7 43386
 
2.0%
8 4826
 
0.2%
9 1065
 
< 0.1%
ValueCountFrequency (%)
18 3
 
< 0.1%
17 4
 
< 0.1%
16 15
 
< 0.1%
15 59
 
< 0.1%
14 45
 
< 0.1%
13 34
 
< 0.1%
12 48
 
< 0.1%
11 64
 
< 0.1%
10 179
 
< 0.1%
9 1065
< 0.1%

Strom P2_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct64
Distinct (%)< 0.1%
Missing1681111
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.45121368
Minimum0
Maximum178
Zeros514501
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.039413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.0545497
Coefficient of variation (CV)15.63461
Kurtosis256.55554
Mean0.45121368
Median Absolute Deviation (MAD)0
Skewness15.868136
Sum233120
Variance49.766672
MonotonicityNot monotonic
2023-04-03T20:16:46.108634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 514501
 
23.4%
109 485
 
< 0.1%
108 433
 
< 0.1%
110 272
 
< 0.1%
107 236
 
< 0.1%
111 168
 
< 0.1%
106 121
 
< 0.1%
112 65
 
< 0.1%
178 52
 
< 0.1%
105 47
 
< 0.1%
Other values (54) 271
 
< 0.1%
(Missing) 1681111
76.5%
ValueCountFrequency (%)
0 514501
23.4%
1 7
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
15 2
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
178 52
< 0.1%
176 1
 
< 0.1%
175 1
 
< 0.1%
172 2
 
< 0.1%
158 1
 
< 0.1%
154 1
 
< 0.1%
146 1
 
< 0.1%
131 1
 
< 0.1%
130 1
 
< 0.1%
128 1
 
< 0.1%

Strom P3_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)< 0.1%
Missing1681111
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.45341439
Minimum0
Maximum178
Zeros514460
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.182727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.0145915
Coefficient of variation (CV)15.470597
Kurtosis253.30566
Mean0.45341439
Median Absolute Deviation (MAD)0
Skewness15.736737
Sum234257
Variance49.204493
MonotonicityNot monotonic
2023-04-03T20:16:46.252098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 514460
 
23.4%
106 590
 
< 0.1%
107 474
 
< 0.1%
105 296
 
< 0.1%
108 290
 
< 0.1%
109 141
 
< 0.1%
178 60
 
< 0.1%
104 54
 
< 0.1%
110 46
 
< 0.1%
103 23
 
< 0.1%
Other values (44) 217
 
< 0.1%
(Missing) 1681111
76.5%
ValueCountFrequency (%)
0 514460
23.4%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
19 1
 
< 0.1%
23 1
 
< 0.1%
ValueCountFrequency (%)
178 60
 
< 0.1%
144 1
 
< 0.1%
125 1
 
< 0.1%
115 1
 
< 0.1%
113 2
 
< 0.1%
112 9
 
< 0.1%
111 14
 
< 0.1%
110 46
 
< 0.1%
109 141
< 0.1%
108 290
< 0.1%

Strom P4_pval
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct73
Distinct (%)< 0.1%
Missing1681112
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.044769186
Minimum0
Maximum178
Zeros516333
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.326698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2388861
Coefficient of variation (CV)50.009534
Kurtosis2984.2788
Mean0.044769186
Median Absolute Deviation (MAD)0
Skewness53.458528
Sum23130
Variance5.0126111
MonotonicityNot monotonic
2023-04-03T20:16:46.396108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 516333
 
23.5%
1 89
 
< 0.1%
130 12
 
< 0.1%
128 12
 
< 0.1%
58 10
 
< 0.1%
129 10
 
< 0.1%
126 8
 
< 0.1%
125 8
 
< 0.1%
127 8
 
< 0.1%
131 7
 
< 0.1%
Other values (63) 153
 
< 0.1%
(Missing) 1681112
76.5%
ValueCountFrequency (%)
0 516333
23.5%
1 89
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
11 1
 
< 0.1%
17 1
 
< 0.1%
21 1
 
< 0.1%
30 1
 
< 0.1%
34 1
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
178 3
< 0.1%
153 1
 
< 0.1%
145 1
 
< 0.1%
142 2
< 0.1%
141 3
< 0.1%
140 1
 
< 0.1%
139 1
 
< 0.1%
138 2
< 0.1%
137 3
< 0.1%
136 3
< 0.1%

Strom P5_pval
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct69
Distinct (%)< 0.1%
Missing1681116
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.038521541
Minimum0
Maximum178
Zeros516449
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.469868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0792584
Coefficient of variation (CV)53.976512
Kurtosis3462.2033
Mean0.038521541
Median Absolute Deviation (MAD)0
Skewness57.50149
Sum19902
Variance4.3233155
MonotonicityNot monotonic
2023-04-03T20:16:46.539423image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 516449
 
23.5%
128 11
 
< 0.1%
136 10
 
< 0.1%
129 8
 
< 0.1%
138 8
 
< 0.1%
126 6
 
< 0.1%
90 6
 
< 0.1%
137 6
 
< 0.1%
92 5
 
< 0.1%
130 5
 
< 0.1%
Other values (59) 132
 
< 0.1%
(Missing) 1681116
76.5%
ValueCountFrequency (%)
0 516449
23.5%
1 2
 
< 0.1%
9 1
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
24 1
 
< 0.1%
27 1
 
< 0.1%
42 1
 
< 0.1%
56 2
 
< 0.1%
57 4
 
< 0.1%
ValueCountFrequency (%)
178 3
 
< 0.1%
140 1
 
< 0.1%
139 3
 
< 0.1%
138 8
< 0.1%
137 6
< 0.1%
136 10
< 0.1%
135 5
< 0.1%
134 3
 
< 0.1%
133 2
 
< 0.1%
132 3
 
< 0.1%

Strom P6_pval
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing1681116
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean0.0082125866
Minimum0
Maximum71
Zeros516561
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.611245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68321951
Coefficient of variation (CV)83.191758
Kurtosis8211.0119
Mean0.0082125866
Median Absolute Deviation (MAD)0
Skewness88.779645
Sum4243
Variance0.46678891
MonotonicityNot monotonic
2023-04-03T20:16:46.676393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 516561
 
23.5%
69 9
 
< 0.1%
70 9
 
< 0.1%
40 4
 
< 0.1%
67 4
 
< 0.1%
31 3
 
< 0.1%
64 3
 
< 0.1%
30 3
 
< 0.1%
71 3
 
< 0.1%
42 2
 
< 0.1%
Other values (32) 45
 
< 0.1%
(Missing) 1681116
76.5%
ValueCountFrequency (%)
0 516561
23.5%
1 1
 
< 0.1%
3 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
29 2
 
< 0.1%
30 3
 
< 0.1%
ValueCountFrequency (%)
71 3
 
< 0.1%
70 9
< 0.1%
69 9
< 0.1%
68 2
 
< 0.1%
67 4
< 0.1%
66 2
 
< 0.1%
65 1
 
< 0.1%
64 3
 
< 0.1%
62 2
 
< 0.1%
60 1
 
< 0.1%

Fllstand Pumpensumpf_pval
Real number (ℝ)

Distinct267
Distinct (%)< 0.1%
Missing1512228
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean48.38354
Minimum30
Maximum322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.749155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile32
Q139
median48
Q356
95-th percentile63
Maximum322
Range292
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.798036
Coefficient of variation (CV)0.26451219
Kurtosis43.653878
Mean48.38354
Median Absolute Deviation (MAD)9
Skewness3.5565667
Sum33168562
Variance163.78973
MonotonicityNot monotonic
2023-04-03T20:16:46.818558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 20924
 
1.0%
33 20383
 
0.9%
59 20353
 
0.9%
34 20341
 
0.9%
36 20227
 
0.9%
60 20175
 
0.9%
35 20143
 
0.9%
38 20088
 
0.9%
41 20058
 
0.9%
42 20052
 
0.9%
Other values (257) 482790
 
22.0%
(Missing) 1512228
68.8%
ValueCountFrequency (%)
30 816
 
< 0.1%
31 18332
0.8%
32 19711
0.9%
33 20383
0.9%
34 20341
0.9%
35 20143
0.9%
36 20227
0.9%
37 19938
0.9%
38 20088
0.9%
39 20025
0.9%
ValueCountFrequency (%)
322 5
< 0.1%
321 2
 
< 0.1%
320 2
 
< 0.1%
319 4
< 0.1%
318 4
< 0.1%
316 2
 
< 0.1%
315 2
 
< 0.1%
314 2
 
< 0.1%
312 2
 
< 0.1%
311 4
< 0.1%

Strom Pumpe 1_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing1665794
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean0.19393836
Minimum0
Maximum12
Zeros514821
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:46.880357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0667093
Coefficient of variation (CV)5.500249
Kurtosis26.93538
Mean0.19393836
Median Absolute Deviation (MAD)0
Skewness5.3566375
Sum103169
Variance1.1378687
MonotonicityNot monotonic
2023-04-03T20:16:46.936096image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 514821
 
23.4%
6 14465
 
0.7%
7 1317
 
0.1%
5 1144
 
0.1%
8 125
 
< 0.1%
1 32
 
< 0.1%
9 26
 
< 0.1%
2 18
 
< 0.1%
3 8
 
< 0.1%
10 6
 
< 0.1%
Other values (3) 6
 
< 0.1%
(Missing) 1665794
75.8%
ValueCountFrequency (%)
0 514821
23.4%
1 32
 
< 0.1%
2 18
 
< 0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
5 1144
 
0.1%
6 14465
 
0.7%
7 1317
 
0.1%
8 125
 
< 0.1%
9 26
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 2
 
< 0.1%
10 6
 
< 0.1%
9 26
 
< 0.1%
8 125
 
< 0.1%
7 1317
 
0.1%
6 14465
0.7%
5 1144
 
0.1%
4 2
 
< 0.1%
3 8
 
< 0.1%

Strom Pumpe 2_pval
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing1664637
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean0.31218195
Minimum0
Maximum8
Zeros501773
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:47.442546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2545869
Coefficient of variation (CV)4.0187683
Kurtosis12.664639
Mean0.31218195
Median Absolute Deviation (MAD)0
Skewness3.8076563
Sum166432
Variance1.5739883
MonotonicityNot monotonic
2023-04-03T20:16:47.492489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 501773
 
22.8%
5 21484
 
1.0%
6 9792
 
0.4%
1 32
 
< 0.1%
7 16
 
< 0.1%
2 12
 
< 0.1%
8 8
 
< 0.1%
4 4
 
< 0.1%
3 4
 
< 0.1%
(Missing) 1664637
75.7%
ValueCountFrequency (%)
0 501773
22.8%
1 32
 
< 0.1%
2 12
 
< 0.1%
3 4
 
< 0.1%
4 4
 
< 0.1%
5 21484
 
1.0%
6 9792
 
0.4%
7 16
 
< 0.1%
8 8
 
< 0.1%
ValueCountFrequency (%)
8 8
 
< 0.1%
7 16
 
< 0.1%
6 9792
 
0.4%
5 21484
 
1.0%
4 4
 
< 0.1%
3 4
 
< 0.1%
2 12
 
< 0.1%
1 32
 
< 0.1%
0 501773
22.8%
Distinct313
Distinct (%)0.1%
Missing1585752
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean92.042878
Minimum80
Maximum472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:47.560377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile82
Q186
median91
Q395
95-th percentile99
Maximum472
Range392
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.453221
Coefficient of variation (CV)0.13529804
Kurtosis167.61907
Mean92.042878
Median Absolute Deviation (MAD)4
Skewness9.8374812
Sum56331162
Variance155.08272
MonotonicityNot monotonic
2023-04-03T20:16:47.629910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93 35964
 
1.6%
97 35331
 
1.6%
95 35188
 
1.6%
96 34950
 
1.6%
92 34892
 
1.6%
91 34087
 
1.6%
90 33778
 
1.5%
87 33726
 
1.5%
85 33427
 
1.5%
89 33301
 
1.5%
Other values (303) 267366
 
12.2%
(Missing) 1585752
72.2%
ValueCountFrequency (%)
80 6
 
< 0.1%
81 8204
 
0.4%
82 24147
1.1%
83 29520
1.3%
84 29411
1.3%
85 33427
1.5%
86 33096
1.5%
87 33726
1.5%
88 32919
1.5%
89 33301
1.5%
ValueCountFrequency (%)
472 2
< 0.1%
469 4
< 0.1%
467 2
< 0.1%
462 2
< 0.1%
456 2
< 0.1%
453 2
< 0.1%
452 2
< 0.1%
449 3
< 0.1%
446 2
< 0.1%
442 2
< 0.1%

Strom Pumpe 1_pval.1
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing1665785
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean0.96071447
Minimum0
Maximum22
Zeros480933
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:47.695306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9552749
Coefficient of variation (CV)3.076122
Kurtosis5.6673606
Mean0.96071447
Median Absolute Deviation (MAD)0
Skewness2.7612305
Sum511078
Variance8.7336496
MonotonicityNot monotonic
2023-04-03T20:16:47.746803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 480933
 
21.9%
10 47919
 
2.2%
9 1275
 
0.1%
11 777
 
< 0.1%
12 591
 
< 0.1%
13 200
 
< 0.1%
1 97
 
< 0.1%
14 74
 
< 0.1%
15 29
 
< 0.1%
2 18
 
< 0.1%
Other values (10) 64
 
< 0.1%
(Missing) 1665785
75.8%
ValueCountFrequency (%)
0 480933
21.9%
1 97
 
< 0.1%
2 18
 
< 0.1%
3 16
 
< 0.1%
4 8
 
< 0.1%
5 6
 
< 0.1%
6 8
 
< 0.1%
7 2
 
< 0.1%
8 4
 
< 0.1%
9 1275
 
0.1%
ValueCountFrequency (%)
22 2
 
< 0.1%
19 2
 
< 0.1%
18 12
 
< 0.1%
17 4
 
< 0.1%
15 29
 
< 0.1%
14 74
 
< 0.1%
13 200
 
< 0.1%
12 591
 
< 0.1%
11 777
 
< 0.1%
10 47919
2.2%

Strom Pumpe 2_pval.1
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing1670304
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.072792526
Minimum0
Maximum47
Zeros526334
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:47.800902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6197425
Coefficient of variation (CV)22.251495
Kurtosis529.07183
Mean0.072792526
Median Absolute Deviation (MAD)0
Skewness22.860801
Sum38395
Variance2.6235658
MonotonicityNot monotonic
2023-04-03T20:16:47.859085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 526334
 
23.9%
37 405
 
< 0.1%
18 173
 
< 0.1%
40 141
 
< 0.1%
39 117
 
< 0.1%
38 99
 
< 0.1%
36 88
 
< 0.1%
19 26
 
< 0.1%
41 23
 
< 0.1%
42 8
 
< 0.1%
Other values (16) 44
 
< 0.1%
(Missing) 1670304
76.0%
ValueCountFrequency (%)
0 526334
23.9%
1 4
 
< 0.1%
3 2
 
< 0.1%
18 173
 
< 0.1%
19 26
 
< 0.1%
20 2
 
< 0.1%
22 2
 
< 0.1%
23 2
 
< 0.1%
25 2
 
< 0.1%
27 2
 
< 0.1%
ValueCountFrequency (%)
47 2
 
< 0.1%
46 2
 
< 0.1%
45 4
 
< 0.1%
44 6
 
< 0.1%
43 6
 
< 0.1%
42 8
 
< 0.1%
41 23
 
< 0.1%
40 141
< 0.1%
39 117
< 0.1%
38 99
< 0.1%

Strom Pumpe 3_pval
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)< 0.1%
Missing1670179
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.0979126
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.5 MiB
2023-04-03T20:16:47.914948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum72
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8036605
Coefficient of variation (CV)1.6428089
Kurtosis345.28053
Mean1.0979126
Median Absolute Deviation (MAD)0
Skewness18.520218
Sum579240
Variance3.2531912
MonotonicityNot monotonic
2023-04-03T20:16:47.969057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 526020
 
23.9%
34 463
 
< 0.1%
33 405
 
< 0.1%
35 281
 
< 0.1%
32 153
 
< 0.1%
36 117
 
< 0.1%
37 74
 
< 0.1%
38 20
 
< 0.1%
39 8
 
< 0.1%
42 8
 
< 0.1%
Other values (12) 34
 
< 0.1%
(Missing) 1670179
76.0%
ValueCountFrequency (%)
1 526020
23.9%
4 2
 
< 0.1%
7 2
 
< 0.1%
15 2
 
< 0.1%
19 2
 
< 0.1%
21 6
 
< 0.1%
22 4
 
< 0.1%
26 2
 
< 0.1%
32 153
 
< 0.1%
33 405
 
< 0.1%
ValueCountFrequency (%)
72 2
 
< 0.1%
58 2
 
< 0.1%
43 2
 
< 0.1%
42 8
 
< 0.1%
41 2
 
< 0.1%
40 6
 
< 0.1%
39 8
 
< 0.1%
38 20
 
< 0.1%
37 74
< 0.1%
36 117
< 0.1%

Interactions

2023-04-03T20:16:25.676609image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:25.204641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.483620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:30.116117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:32.309884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.520262image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.783484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:39.013890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:41.332666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.579596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:46.031527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:48.247204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.511899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.759637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.971850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.981998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.448283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.512093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.555329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.589508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.642170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.703909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:12.190124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.421192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.589592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.813571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:21.111150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:23.228469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-04-03T20:15:50.002008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.251585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.492249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.584590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.053086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.115286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.155854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.195811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.247131image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.304812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:11.780031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:13.921918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.088746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.303994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:20.595061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:22.746148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.197998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:27.415534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.066856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:29.301037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:31.907685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.125115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.349538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:38.608701image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:40.900249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.182766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:45.613097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:47.828371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.087102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.334321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.574893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.652130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.116892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.183135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.222734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.262186image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.313905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.370531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:11.844721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.005401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.172377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.392687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:20.680413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:22.828744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.277978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:27.503741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.152395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:29.385488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:31.988359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.207900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.438560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:38.690627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:40.989080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.267906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:45.701525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:47.919548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.176545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.423206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.663257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.727258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.190060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.257853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.299492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.334726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.390374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.444677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:11.918918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.095815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.261188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.480900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:20.775489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:22.914671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.363225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:27.593283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.236138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:29.469128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:32.071678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.289579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.525189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:38.772080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:41.074713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.348010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:45.789595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:48.006890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.266966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.509794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.750157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.796753image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.261068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.329216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.371187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.405402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.461242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.519421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:11.990090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.183282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.352274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.569263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:20.863941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:22.998485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.447901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:27.672740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.313068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:29.544689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:32.144059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.362685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.603323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:38.847103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:41.154283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.423065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:45.869369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:48.086479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.346575image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.592441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.826824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.860001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.324994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.390872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.433553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.466856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.523858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.581238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:12.055434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.262990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.430383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.649638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:20.944646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:23.073753image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.523398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:27.754086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:27.388543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:29.618740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:32.218993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:34.436354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:36.683482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:38.920910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:41.233815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:43.498433image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:45.947495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:48.165268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:50.428059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:52.673628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:54.903822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:56.916172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:15:59.381490image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:01.449199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:03.489372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:05.522542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:07.578583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:09.636306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:12.112002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:14.341037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:16.509991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:18.730999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:21.025898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:23.150684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-03T20:16:25.598411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-04-03T20:16:48.050611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
FLP_Hohenstand_Pumpensumpf_pvalFLP_Strom_P3_pvalFLP_Strom_P4_pvalFLP_Strom_P5_pvalDurchfluss SWP1 und SWP2_pvalFLP_Hohenstand_Becken1_pvalFLP_Hohenstand_Becken3_pvalFLP_Hohenstand_Beckne2_pvalSchieber Position_pvalOberwasser_pvalUnterwasser_pvalDurchflumenge_pvalBerechnete Durchflussmenge_pvalFllstand SWS_pvalFllstand RWS_pvalStrom P1_pvalStrom P2_pvalStrom P3_pvalStrom P4_pvalStrom P5_pvalStrom P6_pvalFllstand Pumpensumpf_pvalStrom Pumpe 1_pvalStrom Pumpe 2_pvalFllstand Pumpensumpf_pval.1Strom Pumpe 1_pval.1Strom Pumpe 2_pval.1Strom Pumpe 3_pval
FLP_Hohenstand_Pumpensumpf_pval1.0000.0400.1960.1730.1900.3640.2650.3480.0530.2490.2360.2600.2470.1190.0950.1500.0790.031NaNNaNNaN0.0370.1580.1940.0140.1440.0700.076
FLP_Strom_P3_pval0.0401.0000.048-0.0510.038-0.035-0.022-0.004-0.0210.0430.0440.0430.042-0.0070.000-0.004-0.000-0.000NaNNaNNaN0.0240.0870.0690.0130.059-0.001-0.001
FLP_Strom_P4_pval0.1960.0481.0000.1360.1150.1690.1340.1600.0190.1700.1730.1640.1660.0650.0830.0910.0680.036NaNNaNNaN0.1050.3590.2990.0800.2290.2120.224
FLP_Strom_P5_pval0.173-0.0510.1361.000-0.0150.6700.7070.1540.4080.010-0.022-0.0710.0660.1590.2210.1180.2260.040NaNNaNNaN0.0200.0710.0860.0270.0480.0960.094
Durchfluss SWP1 und SWP2_pval0.1900.0380.115-0.0151.0000.0440.0090.015-0.0270.3390.3330.3100.2920.1030.0940.1160.0600.034NaNNaNNaN0.0320.1200.1520.0140.1260.0510.064
FLP_Hohenstand_Becken1_pval0.364-0.0350.1690.6700.0441.0000.6900.2850.2900.1150.0670.0990.1580.1220.1060.1420.0900.036NaNNaNNaN0.0380.0810.1450.0300.0880.0800.082
FLP_Hohenstand_Becken3_pval0.265-0.0220.1340.7070.0090.6901.0000.3540.3370.0500.002-0.0480.0920.0710.0990.1540.030-0.001NaNNaNNaN0.0350.0920.133-0.0000.0550.0800.076
FLP_Hohenstand_Beckne2_pval0.348-0.0040.1600.1540.0150.2850.3541.0000.0520.1110.0980.0820.1230.0720.0910.1500.026-0.003NaNNaNNaN0.0310.1170.138-0.0020.0660.0990.089
Schieber Position_pval0.053-0.0210.0190.408-0.0270.2900.3370.0521.000-0.004-0.012-0.1120.009-0.0750.165-0.1290.0860.086NaNNaNNaN0.0010.0070.0070.003-0.0000.0080.009
Oberwasser_pval0.2490.0430.1700.0100.3390.1150.0500.111-0.0041.0000.9140.8130.8760.217-0.0120.2200.1330.1660.0560.0570.0500.0400.1680.213-0.1810.1630.0710.084
Unterwasser_pval0.2360.0440.173-0.0220.3330.0670.0020.098-0.0120.9141.0000.8310.7430.2120.0270.2380.1290.1640.0590.0570.0560.0390.1750.216-0.1850.1650.0710.084
Durchflumenge_pval0.2600.0430.164-0.0710.3100.099-0.0480.082-0.1120.8130.8311.0000.6970.199-0.0420.2230.1030.1100.0330.0320.0360.0390.1670.193-0.1590.1570.0700.083
Berechnete Durchflussmenge_pval0.2470.0420.1660.0660.2920.1580.0920.1230.0090.8760.7430.6971.0000.174-0.0480.2140.0910.1060.0320.0320.0340.0390.1540.204-0.1490.1450.0710.085
Fllstand SWS_pval0.119-0.0070.0650.1590.1030.1220.0710.072-0.0750.2170.2120.1990.1741.0000.0540.1890.0800.0830.0280.0240.0210.0430.0550.0830.1060.0450.3580.330
Fllstand RWS_pval0.0950.0000.0830.2210.0940.1060.0990.0910.165-0.0120.027-0.042-0.0480.0541.0000.0430.0160.0160.0140.0140.0120.0130.0280.0230.042-0.0200.3030.117
Strom P1_pval0.150-0.0040.0910.1180.1160.1420.1540.150-0.1290.2200.2380.2230.2140.1890.0431.000-0.041-0.0410.0060.000-0.0080.0190.0380.0620.0230.048-0.1650.080
Strom P2_pval0.079-0.0000.0680.2260.0600.0900.0300.0260.0860.1330.1290.1030.0910.0800.016-0.0411.000-0.0040.0530.0340.0270.0490.0460.0440.0940.0520.0460.028
Strom P3_pval0.031-0.0000.0360.0400.0340.036-0.001-0.0030.0860.1660.1640.1100.1060.0830.016-0.041-0.0041.0000.1360.1480.1690.0720.0460.0380.1290.0740.4530.208
Strom P4_pvalNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0560.0590.0330.0320.0280.0140.0060.0530.1361.0000.5160.2440.0280.0400.0090.052-0.0000.3690.145
Strom P5_pvalNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0570.0570.0320.0320.0240.0140.0000.0340.1480.5161.0000.3250.0270.0260.0160.0530.0070.1770.134
Strom P6_pvalNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0500.0560.0360.0340.0210.012-0.0080.0270.1690.2440.3251.0000.0360.0370.0170.0480.0120.2820.174
Fllstand Pumpensumpf_pval0.0370.0240.1050.0200.0320.0380.0350.0310.0010.0400.0390.0390.0390.0430.0130.0190.0490.0720.0280.0270.0361.0000.1250.1490.0150.0530.0690.067
Strom Pumpe 1_pval0.1580.0870.3590.0710.1200.0810.0920.1170.0070.1680.1750.1670.1540.0550.0280.0380.0460.0460.0400.0260.0370.1251.0000.2830.0670.1730.2200.230
Strom Pumpe 2_pval0.1940.0690.2990.0860.1520.1450.1330.1380.0070.2130.2160.1930.2040.0830.0230.0620.0440.0380.0090.0160.0170.1490.2831.0000.0610.1830.1650.166
Fllstand Pumpensumpf_pval.10.0140.0130.0800.0270.0140.030-0.000-0.0020.003-0.181-0.185-0.159-0.1490.1060.0420.0230.0940.1290.0520.0530.0480.0150.0670.0611.0000.0370.0770.091
Strom Pumpe 1_pval.10.1440.0590.2290.0480.1260.0880.0550.066-0.0000.1630.1650.1570.1450.045-0.0200.0480.0520.074-0.0000.0070.0120.0530.1730.1830.0371.0000.1130.128
Strom Pumpe 2_pval.10.070-0.0010.2120.0960.0510.0800.0800.0990.0080.0710.0710.0700.0710.3580.303-0.1650.0460.4530.3690.1770.2820.0690.2200.1650.0770.1131.0000.618
Strom Pumpe 3_pval0.076-0.0010.2240.0940.0640.0820.0760.0890.0090.0840.0840.0830.0850.3300.1170.0800.0280.2080.1450.1340.1740.0670.2300.1660.0910.1280.6181.000

Missing values

2023-04-03T20:16:27.941826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-03T20:16:30.566183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-04-03T20:16:42.203731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

FLP_Hohenstand_Pumpensumpf_pvalFLP_Strom_P3_pvalFLP_Strom_P4_pvalFLP_Strom_P5_pvalDurchfluss SWP1 und SWP2_pvalFLP_Hohenstand_Becken1_pvalFLP_Hohenstand_Becken3_pvalFLP_Hohenstand_Beckne2_pvalSchieber Position_pvalOberwasser_pvalUnterwasser_pvalDurchflumenge_pvalBerechnete Durchflussmenge_pvalFllstand SWS_pvalFllstand RWS_pvalStrom P1_pvalStrom P2_pvalStrom P3_pvalStrom P4_pvalStrom P5_pvalStrom P6_pvalFllstand Pumpensumpf_pvalStrom Pumpe 1_pvalStrom Pumpe 2_pvalFllstand Pumpensumpf_pval.1Strom Pumpe 1_pval.1Strom Pumpe 2_pval.1Strom Pumpe 3_pval
Datetime
2021-01-01 00:00:00NaNNaNNaNNaNNaNNaNNaNNaN100.08.06.07.05.0NaNNaNNaNNaNNaNNaNNaNNaN48.00.00.087.00.00.01.0
2021-01-01 00:00:29NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2021-01-01 00:00:49NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2021-01-01 00:00:59NaNNaNNaNNaNNaNNaNNaNNaN100.08.06.07.05.0NaNNaNNaNNaNNaNNaNNaNNaN48.00.00.087.00.00.01.0
2021-01-01 00:01:00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN8.09.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2021-01-01 00:01:29NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2021-01-01 00:01:39NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2021-01-01 00:01:59NaNNaNNaNNaNNaNNaNNaNNaN100.08.06.08.09.0NaNNaNNaNNaNNaNNaNNaNNaN48.00.00.087.00.00.01.0
2021-01-01 00:02:00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN5.0NaNNaNNaNNaNNaNNaNNaNNaN49.0NaNNaNNaNNaNNaNNaN
2021-01-01 00:02:29NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
FLP_Hohenstand_Pumpensumpf_pvalFLP_Strom_P3_pvalFLP_Strom_P4_pvalFLP_Strom_P5_pvalDurchfluss SWP1 und SWP2_pvalFLP_Hohenstand_Becken1_pvalFLP_Hohenstand_Becken3_pvalFLP_Hohenstand_Beckne2_pvalSchieber Position_pvalOberwasser_pvalUnterwasser_pvalDurchflumenge_pvalBerechnete Durchflussmenge_pvalFllstand SWS_pvalFllstand RWS_pvalStrom P1_pvalStrom P2_pvalStrom P3_pvalStrom P4_pvalStrom P5_pvalStrom P6_pvalFllstand Pumpensumpf_pvalStrom Pumpe 1_pvalStrom Pumpe 2_pvalFllstand Pumpensumpf_pval.1Strom Pumpe 1_pval.1Strom Pumpe 2_pval.1Strom Pumpe 3_pval
Datetime
2022-01-01 23:56:39NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2022-01-01 23:56:5983.980.00.0-1.029.010.00.00.099.08.04.05.011.0NaNNaNNaNNaNNaNNaNNaNNaN33.00.00.081.00.00.01.0
2022-01-01 23:57:00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN79.035.00.00.00.00.00.00.0NaNNaNNaN82.0NaNNaNNaN
2022-01-01 23:57:2981.560.00.0-1.0NaN0.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2022-01-01 23:57:5979.320.00.0-1.029.230.00.00.099.08.04.05.011.0NaNNaNNaNNaNNaNNaNNaNNaN33.00.00.082.00.00.01.0
2022-01-01 23:58:00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.081.035.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaN
2022-01-01 23:58:19NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2022-01-01 23:58:2977.260.00.0-1.0NaN0.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2022-01-01 23:58:5975.120.00.0-1.029.350.00.00.099.08.04.05.010.0NaNNaNNaNNaNNaNNaNNaNNaN33.00.00.082.00.00.01.0
2022-01-01 23:59:0075.120.00.0-1.029.350.00.00.099.08.04.05.011.083.035.00.00.00.00.00.00.033.00.00.082.00.00.01.0

Duplicate rows

Most frequently occurring

FLP_Hohenstand_Pumpensumpf_pvalFLP_Strom_P3_pvalFLP_Strom_P4_pvalFLP_Strom_P5_pvalDurchfluss SWP1 und SWP2_pvalFLP_Hohenstand_Becken1_pvalFLP_Hohenstand_Becken3_pvalFLP_Hohenstand_Beckne2_pvalSchieber Position_pvalOberwasser_pvalUnterwasser_pvalDurchflumenge_pvalBerechnete Durchflussmenge_pvalFllstand SWS_pvalFllstand RWS_pvalStrom P1_pvalStrom P2_pvalStrom P3_pvalStrom P4_pvalStrom P5_pvalStrom P6_pvalFllstand Pumpensumpf_pvalStrom Pumpe 1_pvalStrom Pumpe 2_pvalFllstand Pumpensumpf_pval.1Strom Pumpe 1_pval.1Strom Pumpe 2_pval.1Strom Pumpe 3_pval# duplicates
101725NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN572067
33536NaNNaNNaNNaN0.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN79459
99166NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN90.035.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaN1082
83527NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN13.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1081
81726NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN11.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1047
82595NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1030
80895NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN983
84416NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN14.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN981
98676NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN89.035.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaN976
96081NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN83.035.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaN930